Once we've decided to control something (think of our prevention and detection controls), we then need to decide how to measure it. Different controls may need different measuring requirements, which can give us discrete or continuous data. We treat these data types differently when collecting it, determining sample sizes, and analyzing it for results. Tune-in to learn more about how to take the next step in defining controls: figuring out how to measure it and considering the data.Another QDD episode you might like:Designing Specs for QANew! Watch the video on YouTubeVisit this episode at https://www.qualityduringdesign.com/qdd/discrete-data-vs-continuous-data/ for additional graphics, transcripts, and links.Support the show**FREE RESOURCES**Quality during Design engineering and new product development is actionable. It's also a mindset. Subscribe for consistency, inspiration, and ideas at www.qualityduringdesign.com. About meDianna Deeney helps product designers work with their cross-functional team to reduce concept design time and increase product success, using quality and reliability methods. She consults with businesses to incorporate quality within their product development processes. She also coaches individuals in using Quality during Design for their projects.She founded Quality during Design through her company Deeney Enterprises, LLC. Her vision is a world of products that are easy to use, dependable, and safe – possible by using Quality during Design engineering and product development.